Machine Learning Researcher - World Models
Core
Developing large-scale generative world models that simulate physical environments, actions, and interactions over extended time horizons to enable intelligent systems to reason about future outcomes.
Role type
Senior IC machine learning researcher (generative video & world models)
Builds
Persistent generative simulations of physical environments and long-horizon dynamics
Domain
AI research, generative modeling, computer vision, physics simulation
Deliverable
production ML models
Required skills
spatiotemporal generative modeling, video generation, diffusion models, autoregressive models, transformers, large-scale training, Python, experiment design, GPU cluster management
Preferred skills
C++, Rust, multimodal generative models, physical plausibility evaluation
Technologies
Python, C++, Rust, diffusion models, transformers, GPU clusters
Responsibilities
Design and train spatiotemporal world models for long-horizon dynamics; Advance video generation systems into persistent simulations; Run large-scale training experiments on multi-billion parameter models; Improve temporal consistency, memory, and controllability in generative architectures; Develop evaluation methods for physical plausibility and causal consistency; Work with large video datasets including synthetic and real-world recordings
Seniority
Senior, hands-on IC
